keras-team/keras-tuner
A hyperparameter tuning library for Keras that provides Bayesian Optimization, Hyperband, and Random Search algorithms to optimize deep learning model training.
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KerasTuner is a hyperparameter optimization framework for Keras and TensorFlow models. It allows users to define hyperparameter search spaces using a define-by-run syntax and supports multiple search algorithms including Bayesian Optimization, Hyperband, and Random Search. The library is designed to be extensible for researchers to implement and experiment with new search algorithms.
Frequently asked
- What is keras-team/keras-tuner?
- A hyperparameter tuning library for Keras that provides Bayesian Optimization, Hyperband, and Random Search algorithms to optimize deep learning model training.
- Is keras-tuner open source?
- Yes — keras-team/keras-tuner is open source, released under the Apache-2.0 license.
- What language is keras-tuner written in?
- keras-team/keras-tuner is primarily written in Python.
- How popular is keras-tuner?
- keras-team/keras-tuner has 2.9k stars on GitHub.
- Where can I find keras-tuner?
- keras-team/keras-tuner is on GitHub at https://github.com/keras-team/keras-tuner.